labor & education data: success stories

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2013 Management Information Systems Conference 1 LABOR & EDUCATION DATA: SUCCESS STORIES Wednesday, February 13, 2013 Carol Jenner, Washington State Education Research and Data Center Neal Gibson, Arkansas Research Center Michael Taquino and Mimmo Parisi, National Strategic Planning & Analysis Research Center (nSPARC) at Mississippi State University Jeff Sellers and David Stevens, State Support Team Photos are stock photos. Release for web use of all photos on file.

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Labor & Education Data: Success Stories. Wednesday, February 13, 2013 Carol Jenner, Washington State Education Research and Data Center Neal Gibson, Arkansas Research Center - PowerPoint PPT Presentation

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Page 1: Labor & Education Data: Success Stories

2013 Management Information Systems Conference 1

LABOR & EDUCATION DATA: SUCCESS STORIES

Wednesday, February 13, 2013Carol Jenner, Washington State Education Research and

Data CenterNeal Gibson, Arkansas Research Center

Michael Taquino and Mimmo Parisi, National Strategic Planning & Analysis Research Center (nSPARC) at

Mississippi State UniversityJeff Sellers and David Stevens, State Support Team

Photos are stock photos. Release for web use of all photos on file.

Page 2: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

• Why include workforce data in a P-20W SLDS?• What are the relevant types of workforce data?• How can/should education and workforce data

be linked?• What compelling examples of education and

workforce data linkage and use are available for other states to replicate and customize?

• Questions and Answers

OVERVIEW

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Page 3: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

WHY INCLUDE WORKFORCE DATA

IN AN SLDS?

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Page 4: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

Traditionally, for program evaluation• Career/Technical Education (CTE) follow-up• Evaluation of workforce training programs• Short-term follow-up is common

In a P-20W setting• How many graduates participate in the

Washington workforce?• How do employment characteristics vary by

student major field of study? • Do graduates stay with the same employer they

had while enrolled?• Multi-year follow-up is possible

WHY INCLUDE WORKFORCE DATA: WASHINGTON

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Page 5: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

The share of jobs requiring postsecondary education or training is increasing• Success in employment is a critical element in

evaluating the effectiveness of education and training programs

• Awareness of employment outcomes of specific programs can help guide education and career decisions [careerbridge.wa.gov]

Critical questions (examples from K-12)• How do employment and enrollment after high

school relate to employment patterns established during high school?

• What are the workforce outcomes for completers of a particular program in my school? (Career/Technical Education)

WHY INCLUDE WORKFORCE DATA: WASHINGTON

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"Employment and Wages Online Annual Averages, 2010," Bureau of Labor Statistics. <www.bls.gov/cew/cewbultn10.htm>

Page 6: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

WHY INCLUDE WORKFORCE DATA: ARKANSAS

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Page 7: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

WHY INCLUDE WORKFORCE DATA: ARKANSAS

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Page 8: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

• Workforce Outcomes Inform Educationo Performance-Based Program Managemento Align Education with Workforce Expectations

Perkins and Career Pathways• Education Pipeline Informs and Strengthens

Economic Development Initiatives

WHY INCLUDE WORKFORCE DATA: MISSISSIPPI

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Page 9: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

WHAT ARE THE RELEVANT TYPES OF WORKFORCE DATA?

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Page 10: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

Unemployment Insurance (UI) Wage Data (the gold mine!)• Total wages and hours worked• Employee name, SSN, employer account number

UI Claimant Data• Individuals with 680 hours of covered employment

in a base yearEmployer characteristics (added to wage record)

• Industry, Ownership (private, government, foreign)• Number of employees• Location

Workforce training program participantsK-12 Staff (collected by SEA), Retirement data

TYPES OF WORKFORCE DATA: WASHINGTON

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Page 11: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

TYPES OF WORKFORCE DATA: ARKANSAS

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WIATAAWPUIFEDESWRISTANF

Workforce Programs

Page 12: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

TYPES OF WORKFORCE DATA: MISSISSIPPI

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• MDHS

• MDE

• MSDH

• Head Start

• MDE

•152 Districts

•900 Schools

• IHL

• 8 Universities

• MCCB

• 15 Com. Colleges

• ABE

• Labor Market Data

• K-12 Career Technical

• Employment/Wage

• WIA, TAA, WP

• TANF/SNAP

• Rehab Services

• Corrections

• Community College

Early Childhood K-12 2-4 year College Workforce

Page 13: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

HOW CAN/SHOULD EDUCATION AND

WORKFORCE DATABE LINKED?

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Page 14: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

SSN is the key to linking• Data quality strategies:

o Use name information o Removing from matching files the SSNs associated with

employment before an individual was old enough to worko Screening education records for SSNs issued before an

individual was bornEnhancing the percentage of cohort with SSN

• SSNs linked from other education sectors• Non-education data sources (driver license, state

ID)Emphasis on de-identified data sets and

summary data

LINKING EDUCATION AND WORKFORCE DATA: WASHINGTON

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Page 15: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

What can/should be done with workforce data?• Analysis of workforce outcomes for program

completers: High school graduates, CTE completers, degree recipients, dropouts and “stop-outs”

o Percent remaining in the state to worko Industry of employment and change over timeo Wage trajectories, number of employers over multi-year

spans• Workforce characteristics of enrolled students: High

school students, college students, financial aid recipients

o How many students are employed while enrolled in high school or college?

o How does employment during high school relate to employment after high school?

• Workforce analysis of teachers who leave teaching

LINKING EDUCATION AND WORKFORCE DATA: WASHINGTON

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Page 16: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

What can’t be done with workforce data?• From Washington UI wage data, we do not know:

o Employment outside of Washingtono Federal, military, postal service employmento Occupationo Distribution of wages within a quartero Different jobs or positions for a single employero Specific employee locations for multi-site employers

• Linking to workforce data (other than teacher data from SEA) is not possible without employee SSN

LINKING EDUCATION AND WORKFORCE DATA: WASHINGTON

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Page 17: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

LINKING EDUCATION AND WORKFORCE DATA: ARKANSAS

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Identity Resolution

De-identified Research Data

TIM

Identity Data Only

TrustED

KIM

Identity Resolution

De-identified Research Data

Research Data Only

Knowledgebase Identity Management

TrustEd Identifier Management

Research Databases

Page 18: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

LINKING EDUCATION AND WORKFORCE DATA: ARKANSAS

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Level of Reporting

• New FERPA regulations allow for feedback reports to the previous institution, at the individual level.

• Current workforce regulations only allow for aggregates to be reported. For these data to be used effectively by providers of workforce training, individual level data are needed.

Page 19: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

LINKING EDUCATION AND WORKFORCE DATA: MISSISSIPPI

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Page 20: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

WHAT EXAMPLES OF EDUCATION AND WORKFORCE

DATA LINKAGE AND USE ARE AVAILABLE TO BE

REPLICATED AND CUSTOMIZED?

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Page 21: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

EXAMPLES OF WORKFORCE DATA USE: WASHINGTON

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P-20W and CTE – a perfect match• Indicator 5S1 – Secondary Placement

o Denominator (the cohort): Number of CTE concentrators who left secondary education during the reporting year

o Numerator: Number in the cohort who were “placed” in postsecondary education or training, or in employment in a specific post-exit quarter

o Washington uses P-20W data (Washington public postsecondary enrollment, National Student Clearinghouse, and UI wage data) to develop this indicator

Page 22: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

EXAMPLES OF WORKFORCE DATA USE: WASHINGTON

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COUNTPERCEN

T OF TOTAL

Total regular high school graduates, 2009 (most of 2008-09 cohort) ~61,700

Total evaluated for workforce participation (73% of grads) ~45,100 100%

Total with earnings 76%

Total with earnings during last two years of high school* 62%

Earnings during school year 57%

Earnings during summer 2008 only 6%

Earnings post-high school* 57%*These two categories are not mutually exclusive, so totals may add to more than 100%.

Source: “Workforce Participation: Washington State High School Graduates, 2008-09” Washington Education Research & Data Center, February 2011. <http://www.erdc.wa.gov/briefs/> (forthcoming)

How many high school students are employed during the school year?

Page 23: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

EXAMPLES OF WORKFORCE DATA USE: WASHINGTON

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Median earnings of 2009 graduates

Note the difference in

earnings between CTC and 4-year students

Source: “Workforce Participation: Washington State High School Graduates, 2008-09” Washington Education Research & Data Center, February 2011. <http://www.erdc.wa.gov/briefs/> (forthcoming)

Often, one answer leads to more questions

Page 24: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

EXAMPLES OF WORKFORCE DATA USE: ARKANSAS

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Page 25: Labor & Education Data: Success Stories

2013 Management Information Systems Conference 25

EXAMPLES OF WORKFORCE DATA USE: MISSISSIPPI

Page 26: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

EXAMPLES OF WORKFORCE DATA USE: MISSISSIPPI

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Workforce Pipeline for JOB CREATION

Sector: Transportation and Logistics Potential Site: Desoto County Pipeline: Postsecondary Students Graduating within One Year

  COMMUNITY COLLEGE

PUBLIC UNIVERSITY

Computer and Information Sciences and Support Services. 472 137

Transportation and Materials Moving. 19 0

Business, Management, Marketing, and Related Support Services 1,278 1,010

TOTAL… 1,769 1,147

Source: Mississippi State Longitudinal Data System, 2012

Page 27: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

QUESTIONS AND ANSWERS

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Page 28: Labor & Education Data: Success Stories

2013 Management Information Systems Conference

For more information on labor and education data:

Arkansas ARC: https://arc.arkansas.gov/ Mississippi nSPARC: http://www.nsparc.msstate.edu Washington ERDC: http://www.erdc.wa.gov

ADDITIONAL RESOURCES

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